Q21Fundamentals of GenAI
An AI practitioner is creating a prompt for large language models (LLMs) in Amazon Bedrock. The practitioner must ensure that the prompt works across all Amazon Bedrock LLMs. Which characteristic may vary among the LLMs?
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A 1
Why option A?
Different foundation models in Amazon Bedrock can have different:
- Context window sizes
- Maximum input tokens
- Maximum output tokens
- Total token limits
Therefore, a prompt that works for one model may exceed the token limit of another model.
A 1
The correct answer is A. Maximum token count.
While Amazon Bedrock provides a unified API to access many different foundation models (FMs), the underlying models are built by different providers (such as Anthropic, Meta, Mistral, and Amazon) and have inherent architectural differences.
A 1
The correct answer is A. The maximum token count can vary due to architectural differences and Context Window size limitations.